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dental clinic · six months after treatment

AI online

Do patients disappear after treatment and never come back for a check-up?

The front desk did not remember.
The AI remembers every patient.

The AI invites patients to their check-ups itself: it messages on the right day, explains why the visit matters and offers the doctor's open slots.

3 days free on any plan. No card required.

the AI writes exactly six months after treatment

The invitation nobody at the front desk had to remember

in short: how this gets solved

Do patients disappear after treatment and never come back for a check-up? Here is how it gets solved.

Patient recall usually lives in a front-desk notebook: after treatment the patient leaves with a cheerful "see you at the check-up" and disappears, because a notebook loses to a busy week. Botseller runs the recall list itself: after each visit it sets the date of the next touch and, on that day, messages on WhatsApp on behalf of the clinic.

The message explains why the check-up matters, refers to the doctor's own recommendation and offers open slots right away. The wording is yours: warm, never pushy. If the patient replies, the AI books them and reminds them before the visit. If they stay quiet, a softer second message goes out a week later, and there the chain stops.

Your doctors and front desk see in the CRM who booked, who declined and who to invite later. The clinic stops depending on staff memory, and chairs fill with repeat visits that used to evaporate. It runs on the Growth plan, tuned to your own service intervals.

every patient after treatment

The recall list runs without a notebook

The AI holds the next touch date for every patient: check-ups, cleanings, scans and courses of treatment.

why this happens

Why patients disappear after successful treatment

A patient walks out of the room genuinely intending to come back in six months. But six months is twenty-six weeks of ordinary life, and a mental note does not survive the first one. The pain is gone, so there is no reason to think about the clinic, and nobody keeps a calendar that far ahead. They come back when it hurts again, with longer and more expensive treatment.

The clinic, for its part, relies on the front desk. But something is always on fire at the counter: a queue, a phone, a payment, and "message the March patients" always loses to the urgent thing. Even a note in the CRM does nothing if nobody has the time to look at it. So recall survives exactly until the first genuinely busy week of the year.

There is real money in this: a repeat visit needs no advertising and no discount, and the patient already trusts the doctor. So patient recall should be taken off human memory and handed to a system for which a date is an obligation, not a note in the margin. The more regular the touches, the fewer patients ever reach acute pain.

this is already live

ABClinic lifted patient attendance from 60 to 85 percent

An illustration of the scenario. Real numbers and details are in the case study.

Case ABClinic: +$18K

what changes

What your doctors' schedule looks like a quarter later

Chairs start filling with visits that did not exist before: check-ups, cleanings and routine scans arrive on a schedule you set once. The front desk has nothing to remember, because their work begins where the patient replies.

Doctors see patients at the prevention stage instead of the neglected one, so treatment is simpler and outcomes are better. And the owner sees the recall funnel in the CRM: invitations sent, bookings made, which services convert best. Recall turns from a good intention into a managed source of revenue that does not switch off during holiday season.

Patients never feel like a conveyor belt: every message is personal, with the doctor's name and a clear reason to come in. Care feels like care precisely because it arrives on time.

how much it costs

$179 /mo

The Growth plan: An AI teammate, recall chains, booking with the doctor, reminders and the full patient history in the CRM. It pays for itself in repeat visits that used to be lost for good.

what people ask before launching

Will this look like spam?

No. The message is personal: the service, the doctor, their recommendation and the reason to come in. There are never more than two touches, and the chain stops after a reply or a refusal.

How does the AI know when to message a patient?

The interval is set per service: a check-up six months after treatment, a cleaning once a year. After each visit the next touch date is scheduled automatically.

What if a patient asks a medical question?

The AI answers organizational questions only and passes medical ones to the front desk or the doctor together with the conversation.

Can we exclude some patients from the chains?

Yes: anyone who declined, and any special cases, are flagged in the CRM and the AI leaves them alone.